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» Using PageRank to Locally Partition a Graph
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SIGIR
2008
ACM
13 years 5 months ago
Pagerank based clustering of hypertext document collections
Clustering hypertext document collection is an important task in Information Retrieval. Most clustering methods are based on document content and do not take into account the hype...
Konstantin Avrachenkov, Vladimir Dobrynin, Danil N...
ICDCS
2005
IEEE
13 years 12 months ago
Using a Layered Markov Model for Distributed Web Ranking Computation
The link structure of the Web graph is used in algorithms such as Kleinberg’s HITS and Google’s PageRank to assign authoritative weights to Web pages and thus rank them. Both ...
Jie Wu, Karl Aberer
WWW
2004
ACM
14 years 7 months ago
Efficient pagerank approximation via graph aggregation
We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...
Andrei Z. Broder, Ronny Lempel, Farzin Maghoul, Ja...
ICDM
2006
IEEE
296views Data Mining» more  ICDM 2006»
14 years 8 days ago
Fast Random Walk with Restart and Its Applications
How closely related are two nodes in a graph? How to compute this score quickly, on huge, disk-resident, real graphs? Random walk with restart (RWR) provides a good relevance scor...
Hanghang Tong, Christos Faloutsos, Jia-Yu Pan
SIGIR
2004
ACM
13 years 11 months ago
Block-level link analysis
Link Analysis has shown great potential in improving the performance of web search. PageRank and HITS are two of the most popular algorithms. Most of the existing link analysis al...
Deng Cai, Xiaofei He, Ji-Rong Wen, Wei-Ying Ma